Nomogram may predict Community-acquired pneumonia in Diabetics

Results:

• Chronic kidney dysfunction, malignant tumor, abnormal neutrophil count, abnormal lymphocyte count, decreased serum albumin level, and increased HbA1c level at admission was independently associated with progression to severe CAP in diabetic patients as per the multivariate analysis.
• Based on these above risk factors and other predictors with clinical relevance, a nomogram was developed.
• The area under the curve (AUC) of the nomogram was 0.87 (95% CI 0.83–0.90) in the training set and 0.84 in the testing set (95% CI 0.78–0.90).
• Excellent agreement was seen between the predicted possibility by the nomogram and the actual observation as per the calibration curve.
• As per the decision curve analysis, the nomogram was applicable with a wide range of threshold probabilities due to the net benefit. 

To estimate early the probabilities of severe CAP development in diabetic patients and assess its progression to severe CAP, Nomogram can be used due to its good prediction accuracy and discrimination abilities. As these biomarkers are commonly used they can be used in clinical practice and improve the early management of diabetic patients with CAP. 

Further reading: Tan, R., Liu, B., Zhao, C. et al. Nomogram for prediction of severe community-acquired pneumonia development in diabetic patients: a multicenter study. BMC Pulm Med 22, 403 (2022). https://doi.org/10.1186/s12890-022-02183-9